Multi-Level Common Space Learning for Person Re-Identification

Volume: 28, Issue: 8, Pages: 1777 - 1787
Published: Aug 1, 2018
Abstract
Matching people in different cameras, commonly referred to as person re-identification, is a challenging task. The challenges come from the drastic appearance variation across different camera views caused by changes in pose, lighting condition, occlusion, background, and so on. Instead of matching images in the original feature space, many existing methods learn distance metrics or feature transformations to improve the matching accuracy. For...
Paper Details
Title
Multi-Level Common Space Learning for Person Re-Identification
Published Date
Aug 1, 2018
Volume
28
Issue
8
Pages
1777 - 1787
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